AIMC Topic: Motion

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A novel encountered-type master device with precise manipulation for robot-assisted microsurgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The unconstrained master devices have emerged as attractive alternatives to the existing linkage-based counterparts. However, the conventional unconstrained master device's manipulation methods have several disadvantages in efficiency and...

Co-carrying an object by robot in cooperation with humans using visual and force sensing.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Human-robot collaboration poses many challenges where humans and robots work inside a shared workspace. Robots collaborating with humans indirectly bring difficulties for accomplishing co-carrying tasks. In our work, we focus on co-carrying an object...

Design and Research of All-Terrain Wheel-Legged Robot.

Sensors (Basel, Switzerland)
Aiming at the crossing problem of complex terrain, to further improve the ability of obstacles crossing, this paper designs and develops an all-terrain wheel-legged hybrid robot (WLHR) with strong adaptability to the environment. According to the ope...

Implementation of six degree-of-freedom high-precision robotic phantom on commercial industrial robotic manipulator.

Biomedical physics & engineering express
This technical note discloses our implementation of a six degree-of-freedom (DOF) high-precision robotic phantom on a commercially available industrial robot manipulator. These manipulators are designed to optimize their set point tracking accuracy a...

MSST-RT: Multi-Stream Spatial-Temporal Relative Transformer for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland)
Skeleton-based human action recognition has made great progress, especially with the development of a graph convolution network (GCN). The most important work is ST-GCN, which automatically learns both spatial and temporal patterns from skeleton sequ...

Deep-learning-based motion correction in optical coherence tomography angiography.

Journal of biophotonics
Optical coherence tomography angiography (OCTA) is a widely applied tool to image microvascular networks with high spatial resolution and sensitivity. Due to limited imaging speed, the artifacts caused by tissue motion can severely compromise visuali...

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.

IEEE transactions on medical imaging
For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is used. To further detect e.g., pathological tissue, multiple imaging contrasts enable a thorough diagnosis using magnetic resonance imaging (MRI). For...

Artificial Intelligence-Enabled Caregiving Walking Stick Powered by Ultra-Low-Frequency Human Motion.

ACS nano
The increasing population of the elderly and motion-impaired people brings a huge challenge to our social system. However, the walking stick as their essential tool has rarely been investigated into its potential capabilities beyond basic physical su...

Deep neural network approach for estimating the three-dimensional human center of mass using joint angles.

Journal of biomechanics
Human body center of mass location plays an essential role in physical therapy, especially in investigating a subject's capability to maintain balance. However, its estimation can be a very complex, costly, and time-consuming process. To overcome the...

Deep Learning for Efficient and Optimal Motion Planning for AUVs with Disturbances.

Sensors (Basel, Switzerland)
We use the recent advances in Deep Learning to solve an underwater motion planning problem by making use of optimal control tools-namely, we propose using the Deep Galerkin Method (DGM) to approximate the Hamilton-Jacobi-Bellman PDE that can be used ...